The platform’s architecture allows for quick adoption of new data sources and ensures stability through enhanced Continuous Integration (CI), which protects the codebase from bugs and decay 24/7.
Meet our client
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Client’s Challenge
A client in the fraud-prevention field required a dedicated ETL platform capable of integrating with multiple external data providers and efficiently transforming data into a graph representation. The platform needed to streamline data processes while maintaining high-quality, scalable architecture.
Our Solution
We developed a custom ETL platform with a core graph component that transforms flat relational data into a graph model using a declarative approach. The introduction of abstractions, design patterns, and hardenings eliminated duplicates and unnecessary operations, improving testability and code quality.
Client’s Benefits
The platform’s architecture allows for quick adoption of new data sources and ensures stability through enhanced Continuous Integration (CI), which protects the codebase from bugs and decay 24/7. This solution improved the platform’s efficiency and scalability, offering better fraud prevention capabilities.
